Machine Learning Research Scientist – Atomistic AI
| Company | ByteDance |
|---|---|
| Location | Seattle, WA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Doctoral degree, majors related to Machine Learning, Computational Materials, Computational Biology, etc. are preferred.
- In-depth understanding of Machine Learning algorithms, with rich practical experience and development knowledge.
- Have a good publication record in high-impact peer-reviewed scientific journals.
- Capable of independent research and innovation, able to grow in a fast-paced, interdisciplinary environment.
- Possess excellent teamwork and interpersonal skills, able to effectively convey complex ideas.
Responsibilities
- Track the progress of cutting-edge research in the industry and establish in-depth and extensive technical knowledge in the field with the team.
- Combining methods from multiple fields such as Machine Learning, Quantum Chemistry, and Molecular Dynamics to explore cutting-edge applications in the fields of biology and materials.
- Integrate industry and team research results, promote the practical application of research results, and generate extensive influence.
Preferred Qualifications
- AI Force Field Model and Atomic/Molecular Basic Model
- Molecular Dynamics Enhanced Sampling Algorithm with generative model
- Biomolecular/Material Molecular Design
- Deep Engineering Optimization and Acceleration of AI Molecular Dynamics